Conference Proceeding

An Efficient Semantic Similarity Search on XML Documents

01/2011; DOI:10.1109/CIS.2010.26 pp.86 - 90 In proceeding of: Computational Intelligence and Security (CIS), 2010 International Conference on
Source: IEEE Xplore

ABSTRACT In this paper, we study the use of XML path query to search an XML fragment in a collection of XML documents. We present efficient techniques that are able to employ bit-slice bloom-filtered signature file as filter and investigate an approach that are able to measure semantic similarity between the query and the XML document in the collection by considering their structures and contents. A ranked list of XML fragments is generated as the search results. By using a set of path queries on a variety of XML documents, the experiments show that the precision and efficiency of the results perform better than ever.

0 0
 · 
0 Bookmarks
 · 
39 Views
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

able
 
bit-slice bloom-filtered signature
 
measure semantic similarity
 
path queries
 
ranked list
 
search results
 
structures
 
XML documents
 
XML fragment
 
XML fragments
 
XML path query